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Transcarent is dedicated to transforming the healthcare experience. With a commitment to simplifying access to high-quality, affordable health and care, Transcarent focuses on a personalized experience for each Member, featuring an on-demand care team and a network of in-person and virtual care options. As a mission-driven organization, Transcarent strives to eliminate complexity from healthcare, aligning their services with those who fund healthcare to ensure a better patient experience. The company emphasizes accountability and offers transparency in its practices by implementing at-risk pricing models and impact reporting. Moreover, they are backed by prominent investors, such as 7wireVentures and General Catalyst, and have recently closed a significant funding round to enhance their AI capabilities and growth opportunities.
The role of Principal Data Engineer at Transcarent is pivotal in developing and implementing data solutions that support the company's operational objectives. This position is fully remote, allowing for candidates anywhere in the United States to apply. As a Principal Data Engineer, the selected individual will lead the design and implementation of modern data architectures and enterprise-wide data solutions. This encompasses building a scalable data platform and AI/ML systems that facilitate innovation in healthcare delivery. The role demands a blend of technical prowess, consistent collaboration with cross-functional teams, and a strong focus on delivering results.
The Principal Data Engineer will undertake several key responsibilities, including:
Lead the Design and Implementation: Architect cutting-edge data processing platforms and enterprise solutions using modern data architecture principles.
Scale Data Platform: Develop platforms for optimal data extraction, transformation, and loading from various sources, maintaining data integrity and accessibility.
AI / ML Platform Development: Design and construct scalable AI and ML platforms tailored for Transcarent's use cases.
Collaborative Partnerships: Work alongside Executive, Product, Clinical, Data, and Design teams to address their data infrastructure requirements, leveraging technical expertise.
Optimize Data Pipelines: Build and refine data pipelines, ensuring they operate with high performance, reliability, and scalability.
Innovate and Automate: Develop and uphold data tools and pipelines that empower analytics and data science initiatives.
Mentorship: Provide leadership and mentorship to the data engineering team, fostering a culture of continuous learning and development.
Candidates are expected to meet the following qualifications and skills requirements:
Experience: A minimum of 10+ years in data engineering, with proven experience in developing and scaling data architectures in complex environments. Experience in healthcare is a plus.
Technical Expertise: Advanced knowledge of SQL, relational databases, and big data tools like Spark and Kafka. Proficiency in cloud-based data warehousing solutions, particularly Snowflake, and a solid understanding of cloud services such as AWS.
Architectural Vision: Demonstrated expertise in service-oriented and event-based architecture, along with strong API development skills.
Problem-Solving Skills: Ability to manage and optimize processes in data transformation, workload management, and metadata management.
Leadership and Communication: Exceptional communication skills and the capability to express ideas clearly while leading cross-functional teams effectively.
Project Management: Possess robust project management and organizational skills, adept at handling multiple projects simultaneously.
The following additional skills will be advantageous but are not mandatory:
Proficiency in building Data-as-a-Service platforms and API development in data platforms.
Knowledge of programming languages such as Python, Java, C++, and Scala.
Familiarity with big data tools and stream-processing systems.
The salary range for the Principal Data Engineer position is competitive, falling between $210,000 and $220,000 USD. Individual compensation packages will be based on a range of factors unique to each candidate, encompassing skills, market demands, primary work location, and internal equity. In addition to salary, Transcarent offers:
Transcarent celebrates diversity and is firmly committed to creating an inclusive working environment for all employees. Candidates should be aware that the company values unique experiences and encourages individuals from underrepresented backgrounds to apply, even if they don't meet every single requirement in the job description. This reflects the organization’s belief in fostering a culture of active learning and innovation.
The Principal Data Engineer role at Transcarent represents an exceptional opportunity for experienced professionals seeking to contribute to healthcare improvements through technology. With its strong focus on innovation, transparency, and the personal growth of its employees, Transcarent embodies a transformative vision for health and care, fostering a team who actively seeks to disrupt and enhance the industry.
This job offer was originally published on himalayas.app
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
